Rongqin Ke

The paper introduces Ribo-ISS, a spatial translatomics method for single-cell translatome profiling in mouse brain, revealing transcription-translation uncoupling and cell-type-specific responses to sleep deprivation.

SOFisher improves spatial omics experiment design by using reinforcement learning to guide FOV selection, outperforming conventional methods in capturing relevant biological features.

This paper introduces a method for spatial gene expression profiling using split-probe ligation and rolling circle amplification, demonstrating its application in mapping gene expression in mouse kidneys.

This study develops a method to measure ligand-binding events in structured RNAs by integrating a hammerhead ribozyme with a multi-base pair bridge, demonstrating its effectiveness with riboswitch candidates.

This paper introduces an improved in situ sequencing method for high-resolution targeted spatial transcriptomic analysis, showing enhanced signal intensity and specificity for gene expression profiling in tissue sections.

The paper develops PCR-based assays to rapidly and efficiently identify Klinefelter syndrome mouse models by detecting Sry, Amelx copy number, and Xist RNA levels.

IRIS decodes image signals from in situ sequencing into nucleotide sequences and records quality scores and spatial information.